• Journal of Korea Port Economic Association
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• v.33 no.3
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• pp.35-52
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• 2017

Interest and demand in heavy cargo logistics is increasing and becoming more diverse as economic scales have expanded and manufacturing activity has increased. Although cargo moves via maritime and/or land transportation, there is currently insufficient research on the actual condition of heavy cargo logistics. The purpose of this study is to carry out an in-depth analysis of heavy cargo laws, systems, logistics patterns, and current transportation status. By proposing measures to solve existing problems, this study aims to make an important and ongoing contribution to the scarcely studied field of heavy cargo logistics. The result of regression analysis on the main seven factors show that transportation frequency and law/system structure have a positive effect on working conditions. Furthermore, the result of correlation analysis on the main seven factors show that the cargo weight variable is highly positively correlated with cargo size. Also, the working conditions variable is highly positively correlated with the law/system structure. Detailed proposal measures to solve existing problems are summarized as follows. First, it is necessary to establish a clear concept of heavy cargo as numerous existing definitions differ. Second, laws and provisions relating to maritime and land transportation of heavy cargo need to be established and consolidated as current applicable legislation is insufficient. Third, the classification system for heavy cargo transportation needs improvement. Fourth, it is necessary to improve transportation performance statistics and the aggregate criteria system. Finally, the management system of heavy cargo also needs improvement.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.6
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• pp.153-172
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• 2018

Overloading of Commercial vehicles have been an important area of transportation as one of the main causes of pavement damage, bridge collapse, severe traffic accident, etc. In this study, we analyzed the effects of overweight prevention by analyzing overweight driving patterns and using weight sensors. First, we analyzed relevant literatures of overweight and surveyed the commercial weight sensors. Then we chose the typical type of overweight vehicles based of overweight enforcement data analysis. MEMs inclinometer weight sensor were installed to 10 test vehicles and data was collected by weight sensors and gps in real time. As a result of gross vehicle weight and axle weight analysis, it was found weight sensor could decrease overweight rate. However, since the number of samples of test vehicles is insufficient to represent the whole commercial vehicle, further studies are deemed possible through the extension test.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.204-206
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• 2016

대한민국은 우수한 기술력을 바탕으로 한 각종 플랜트 산업이 주력업종인 강국이다. 이러한 특성에 맞게 각 산업단지에서는 고중량 대형화물에 대한 운송수요가 꾸준히 발생하고 있는 추세이다. 대형화물의 운송량이 증가할수록 고정결박 불량에 의한 화물 낙하, 이탈로 인한 차량파손, 도로파손 등의 사고가 지속적으로 발생하고 있으며, 이러한 사고의 발생 가능성은 항상 내재하고 있다. 하지만 현행 도로교통법에는 화물적재 및 고정에 대한 구체적 규정이 전무하여 화물운전자가 책임을 부담하고 있는 실정이다. 본 연구에서는 기존 화물적재 규정을 살펴보고 적합한 고정결박 지침을 제정하고 관리하는 절차의 지정을 제안하였다.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.195-204
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• 2020

The purpose of this study is to look for the relationship between export weight and control volume, inland cargo, export cargo transport, ship departure. The analysis period were used for a total of 113 monthly data from January 2011 to May 2020. Data were retrieved from the Korean Statistical Information Service of the Statistics Korea. The data used in this study were performed numerical analysis, index analysis and model analysis using the rate of change from the same month of the previous year. In the trend of the increase rate, the amount of control has plummeted from 150% to 60% due to the influence of Corona 19 in the beginning of 2020. At the same time, export weight and export cargo transport also decreased. As a result of the analysis, export weight showed relatively high synchronization with export cargo transport and control volume. On the other hand, export weight and inland cargo showed relatively low synchronization. Export weight is expected to continue in 2020 after the fluctuation rate began to decrease after 2019. If we can find the point of rebound in control volume or export cargo transport in the future, we can predict the point of increase in export weight. We expect to see an increase in export weight as soon as possible.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.493-494
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• 2021

항공 산업의 발전으로 개인의 해외여행의 부담이 낮아져 각국의 왕래가 많아지고 있으며 사람들이 느끼는 국가 간 거리감이 크게 축소되고 있다. 또한, 화물의 운송이 활발해지며 이와 함께 화물 항공 물류량이 크게 늘어가고 있다. 항공물류 절차 중 화물적재는 사람들이 작업하고 적재 실수로 인한 사고들이 발생하는 것을 알고 이를 개선하고자 본 연구를 선정하게 되었다. 본 연구를 통해 구현할 '항공기 자동 중량평형 알림 시스템'은 평형 상태일 때 항공기 화물실 각 위치의 무게를 측정하고 적정 평형 값을 계산해 스크린에 출력하고 적정 평형 한계를 초과할 경우 경고음과 스크린을 통해 적정 평형이 아님을 알리는 방식으로 작동된다. 이러한 방식을 통해 조종사와 운항관리사, Load Master들이 잘못된 적재로 인한 화물의 위치를 수정하여 화물적재 과정의 안전핀 역할을 할 수 있다. 따라서 우리는 과제 개발에 따른 기대효과 로 항공사에서 여객기, 대형 수송기 등에 시스템을 추가하여 평형으로 인한 사고를 미연에 방지할 수 있다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.250-251
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• 2023

The pallet, typically a form of tertiary packaging, is a flat structure used as a base for the unitization of goods in the supply chain. In addition, standard pallets such as T-11 and T-12 are used throughout the logistics industry to reduce the cost and enhance the efficiency of transportation. However, in the case of special cargo, it is impossible to handle such cargo using a standard pallet due to its size and weight, so many have developed and are now using their customized pallet. Therefore, this study suggests a pallet size optimization method to calculate the optimal pallet size, which minimizes the loss of space on a pallet. The main input features are the specifications and the storage quantity of each cargo, and the optimization method that has modified the Neighborhood Search Algorithm calculates the optimal pallet size. In order to verify the optimality of the developed algorithm, a comparative analysis has been conducted through simulation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.6
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• pp.76-95
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• 2019

An on-board truck scale is an essential technical solution for preventing overload, which makes the driver aware of the commercial vehicle weight. This study analyzed the effects of the driving pattern and transportation efficiency by the IoT Platform service for an on-board truck scale. A comparison of before and after installation using the long-term monitored data confirmed the reduction effects both of the overload ratio and overweight value, and their effects on increasing the transportation efficiency. In addition, the analysis result of the driving route showed that the installation of an on-board truck scale could be a more effective way of preventing overload than increasing the weighing checkpoints.

• Journal of Korea Port Economic Association
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• v.26 no.3
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• pp.114-129
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• 2010

Busan port's main function is handling container cargo compared to world major ports and the percentage of handling general cargo such as dirty bulk cargo is very low. In other words, although total cargo weight of Busan port that recorded the handling result of 13.29million TEU in 2008 reached 113.05million ton, total cargo weight of general cargo was 15.31million ton, so container cargo accounted for 88.1% of whole cargo weight. However, it is the time to create high added value by the increase of handling and marketing dirty bulk cargo. Originally, the dirty bulk cargo was not the avoided object from the first. Somehow, it is a very high added value cargo, and is surely essential strategic material to basic industries of nation. However, it becomes dirty bulk cargo as the companies are reluctant to handle it because of environmental problem, distinct characteristic in handling, uncertain break even point due to imbalance between supply and demand compared to container cargo. However, items that are classified as dirty bulk cargo now are certainly necessary strategic materials to national basic industries or national life. Besides it seems to be a high added value cargo here and now. Therefore, it is time that increasing of handling dirty bulk cargo by marketing it and the system for efficient handling such as constructing the exclusive use wharf in Busan port, modernizing of facilities and equipments, stable secure of place for holding and handling through development of distribution complex by item, efficient data processing and closer cooperation by setting up a SCM of related authorities are needful.

• Journal of Korea Port Economic Association
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• v.32 no.2
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• pp.39-57
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• 2016

Many countries are developing transportation technologies aimed at reducing environmental pollution and the environmental burden. For example, environmentally friendly transportation routes and methods are being used to improve inland waterways in Europe. Against this backdrop, a case study was conducted on special cargo (weight cargo, earth and sand, etc.) on Korea's Gyeong-In Ara Waterway, an inland waterway connecting the Han River and the West Sea, serving a distribution function. The results of the analysis showed that coastal shipping could be promoted using the waterway, including a positive synergy among environmental, economic, and social aspects. That is, by shifting from overland transportation to marine transportation, it is possible to reduce environmental pollution, ease traffic congestion, decrease traffic accidents, and shorten the licensing period for the weight cargo demand of the northern area of the Han River. In this respect, the Gyeong-in Ara Waterway could become an environmentally friendly transportation route, promoting coastal shipping in Korea. However, for this to occur, support systems such as subsidies for marine transportation and using the inland waterway are required, as happens in the EU. Furthermore, existing policies to promote coastal shipping should be improved and applied more broadly.

• Journal of Internet Computing and Services
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• v.5 no.4
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• pp.53-62
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• 2004

This paper presents a study on the optimization for brokering between cargos and ships for future e-logistics. The primary contribution of this research is that we establish an optimization model by formalizing the criteria for the brokering such as time constraints, weight constraints, and preference values between cargos and ships. Another important contribution is that we not only investigate the complexity and the tractability of the optimal brokering problem but present how to evaluate the performance of the optimization program through an experiment. We first derive the preference values between cargos and ships using the time and the weight constraints. These preference values between each pair of cargos and ships are assigned to corresponding binary decision variables as coefficients in the objective function. The optimization model selects pairs of cargos and ships in a way that the sum of the preference values is maximized while satisfying given constraints. Experiment shows that the Davis-Putnam based optimization program finds optimal solutions in reasonable time for the problems with less than 90 decision variables.